This paper is in the following e-collection/theme issue:

Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (418) Mobile Health (mhealth) (3464) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Mobile Health in Psychiatry (527) Chatbots and Conversational Agents (740)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58597, first published .
Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis

Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis

Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis

Authors of this article:

Fan Yang1 Author Orcid Image ;   Jianan Wei2 Author Orcid Image ;   Xuejun Zhao3 Author Orcid Image ;   Ruopeng An4 Author Orcid Image
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Fan Yang   1 , LGSW, PhD ;   Jianan Wei   2 , MA ;   Xuejun Zhao   3 , MA ;   Ruopeng An   4 , PhD

1 School of Social Work, University of Illinois Urbana Champaign, Urbana, IL, United States

2 School of Public Administration, Dongbei University of Finance and Economics, Dalian, China

3 School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China

4 Constance and Martin Silver Center on Data Science and Social Equity, Silver School of Social Work, New York University, New York, NY, United States

Corresponding Author:

  • Ruopeng An, PhD
  • Constance and Martin Silver Center on Data Science and Social Equity
  • Silver School of Social Work, New York University
  • 726 Broadway
  • New York, NY 10003
  • United States
  • Phone: 1 2129981212
  • Email: ruopeng.an@nyu.edu